macuse-mcp
Enables AI to autonomously manage native Mac applications and system workflows without manual context-switching, reducing operational friction and freeing en…
MCP server for Mac — give AI direct control of Calendar, Mail, Notes, Reminders, Messages, and any Mac app via Computer Use, on-device. Works with Claude Desktop, Cursor, Codex, Raycast, VS Code, Warp, Zed, LM Studio.
- Ask Claude to schedule a meeting by creating calendar events directly from your Mac.
- Generate email drafts and send them through Mail without leaving your conversation.
- Automate message replies by letting Claude access and respond to Messages conversations.
Enables AI to autonomously manage native Mac applications and system workflows without manual context-switching, reducing operational friction and freeing engineering teams from routine calendar, email, and task management overhead.
Engineering teams and consultants running macOS who need AI-driven automation of scheduling, email triage, and task tracking within existing native Mac applications.
https://github.com/macuse-app/macuse-mcp
By macuse-app
How to Get It
claude mcp add macuse-mcp -- npx -y macuse-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Schedule a meeting by creating calendar events directly from my Mac
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 36 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 36 GitHub stars; contributors unknown; last commit 0d ago; license no license.